| 2024 | SIGIR | Large Language Models for Next Point-of-Interest Recommendation. | Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim |
| 2024 | UAI | CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs. | Shuang Ao, Stefan Rueger, Advaith Siddharthan |
| 2023 | ECIR | Building Safe and Reliable AI Systems for Safety Critical Tasks with Vision-Language Processing. | Shuang Ao |
| 2023 | UAI | Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration. | Shuang Ao, Stefan Rueger, Advaith Siddharthan |
| 2022 | ICML | EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. | Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang |
| 2022 | ICMV | Confidence-aware calibration and scoring functions for curriculum learning. | Shuang Ao, Stefan Rueger, Advaith Siddharthan |
| 2018 | ICLR | Pelee: A Real-Time Object Detection System on Mobile Devices. | Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling |
| 2017 | AAAI | Fast Generalized Distillation for Semi-Supervised Domain Adaptation. | Shuang Ao, Xiang Li, Charles X. Ling |
| 2017 | PAKDD | Effective Multiclass Transfer for Hypothesis Transfer Learning. | Shuang Ao, Xiang Li, Charles X. Ling |
| 2017 | UAI | Triply Stochastic Gradients on Multiple Kernel Learning. | Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling |
| 2015 | ICDM | Adapting New Categories for Food Recognition with Deep Representation. | Shuang Ao, Charles X. Ling |
| 2014 | DSAA | Mobile-based food classification for Type-2 Diabetes using nutrient and textual features. | Yan Luo, Charles X. Ling, Shuang Ao |